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Senior Data Modeler Jobs in Raleigh, NC (NOW HIRING)

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Establish best practices for model evaluation, validation, and benchmarking. * Translate ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Establish best practices for model evaluation, validation, and benchmarking. * Translate ...

Hiring multiple Senior Data Team Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models. Apply now and have your resume considered for Senior Data Team ...

... a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation ... Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ...

... a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation ... Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ...

... a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation ... Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ...

... a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation ... Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ...

Senior Data Engineer #4885

Durham, NC · On-site

$80 - $100/hr

For more information, please visit grail.com As a Senior Data Analytics Engineer in Operational ... Develop and deploy predictive analytics, trend analyses, and models to anticipate process ...

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

We prioritize using the best models from today's top creators for each legal use case. About the Role: We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI ...

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

We prioritize using the best models from today's top creators for each legal use case. About the Role: We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI ...

Senior Data Scientist II

Raleigh, NC · On-site

$115K - $192K/yr

We prioritize using the best models from today's top creators for each legal use case. About the Role: We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI ...

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

Showing results 41-60

Senior Data Modeler information

See Raleigh, NC salary details

$34

$65

$82

How much do senior data modeler jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for senior data modeler in Raleigh, NC is $65.71, according to ZipRecruiter salary data. Most workers in this role earn between $58.17 and $74.52 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

What are the key skills and qualifications needed to thrive as a senior data modeler?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

What are the most commonly searched types of Data Modeler jobs in Raleigh, NC?

The most popular types of Data Modeler jobs in Raleigh, NC are:

What are popular job titles related to Senior Data Modeler jobs in Raleigh, NC?

For Senior Data Modeler jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Senior Data Modeler jobs in Raleigh, NC look for?

The top searched job categories for Senior Data Modeler jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Data Modeler jobs?

Cities near Raleigh, NC with the most Senior Data Modeler job openings:

Infographic showing various Senior Data Modeler job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,687 per year, or $65.7 per hour.

Senior Data Scientist II

LexisNexis

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Re-posted 27 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

195th of 500 rated business services


Job description

Job Description
About the Team:
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role:
Are you looking to develop your Data Scientist career?
Would you enjoy training more junior team members?
We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.
Responsibilities:
  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Analyze large-scale legal datasets to extract insights and improve model performance.
  • Establish best practices for model evaluation, validation, and benchmarking.
  • Translate experimental results into clear product recommendations and business impact.
  • Collaborate with product, legal experts, and engineers to align solutions with user needs.
  • Mentor team members and provide technical leadership in data science and AI.
Requirements:
  • Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
  • Strong experience in machine learning, NLP, and LLM-based modeling.
  • Strong experience designing and running experiments, including model evaluation and iteration.
  • Experience with generative AI techniques (e.g., prompt engineering, RAG).
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
  • Proficiency in Python and data analysis tools.
  • Strong foundation in statistics, modeling, and large-scale text processing.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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